Job Description

Job Title: Fraud Risk Data Analyst
Location: San Jose, CA Hybrid (2 days in Office)

JOB DESCRIPTION:

We are looking for a talented, enthusiastic and dedicated person to join Fraud Risk Strategy team. The incumbent will be responsible for identifying and driving key initiatives to manage fraud risk of the company. You will leverage your python and SQL skills to pull and manipulate data, analyze clusters and relationships

Professional Experience/Background to be successful in this role:

• Bachelor's degree in business analytics, data science, statistics, mathematics, engineering, other relevant degree, or equivalent practical experience
• Experience using statistics and data science to solve complex business problems
• Proficiency in using SQL and Excel for data analysis purposes)
• Proficiency in data visualization and building dashboards using Tableau
• Experience working with large data sets
• Clear communication skills, being able to translate complex results to technical and non-technical business partners and executives

Preferred Skills:

• Relevant industry experience in ecommerce, online payments, banking, risk management
• Demonstrated experience developing key performance indicators and how to measure success for either key initiatives or a team portfolio
• Proficiency in Python for more complex data analysis
• Experience with AWS

Expected Outcomes in 6 to 12 months:

• Understand fraud risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor performance of strategies and portfolios
• Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
• Evaluate third party vendor data quality and identify new opportunities leveraging various data elements to improve customer experience without incremental risk exposure
• Craft dashboards to track Fraud risk related initiatives such as KPIs around funnel conversion and strategy/portfolio performance; summarize and present findings to senior management
• Work closely with Data and Product teams to ensure data quality are accurately and as design

Job Tags

Similar Jobs